MODELING AND RECOGNITION OF GESTURE OF HAND SKELETON

Authors

  • Mukhin Vadim Yevgenievich National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Kornaga Yaroslav Igorovich National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine
  • Liubivyi Andrii Igorovich National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Ukraine

Abstract

In this article, problems of modeling and recognition of a skeleton of a hand from image which is taken with one camera without additional sensors are considered. Detected  key points from the image with hand are using for the construction of a model of a hand from these points to classify it among the described gesture models. As a result, a system was developed, a system for finding key points of the hand using a neural network, which uses them, creates a prototype of the image of the hand and classifies the gesture model.

Keywords: modeling of objects, convolutional neural networks.

Fig.: 5. Bibl.: 4.

Published

2023-11-08

Issue

2018

Section

Machine learning, Big Data